kidney transplant MedDRA version: 21.0 Level: PT Classification code 10038533 Term: Renal transplant System Organ Class: 10042613 - Surgical and medical procedures MedDRA version: 21.0 Level: PT Classification code 10038533 Term: Renal transplant System Organ Class: 10042613 - Surgical and medical procedures
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: • Informed consent • Age > 18 • First kidney transplant • patients treated with everolimus in combination with CNI (Ciclosporin or Tacrolimus) and corticosteroids Are the trial subjects under 18? no Number of subjects for this age range: F.1.2 Adults (18-64 years) yes F.1.2.1 Number of subjects for this age range 40 F.1.3 Elderly (>=65 years) yes F.1.3.1 Number of subjects for this age range 10
Exclusion criteria
Exclusion criteria: • Transplant of other organs associated with renal transplant • Active neoplasia (but not skin cancer non melanoma) • Acute and chronic hepatitis (hepatitis B, C) • Positive pregnancy test at the time of enrolment • Women in reproductive age without contraceptive method or breastfeeding women • HIV infection • hyperlipidemia/ Clotting problems • interstitial lung disease/ No infectious pneumonia
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Main Objective: 1.To evaluate the differences in transcriptomic profile of peripheral blood mononuclear cells (PBMC) during the treatment of Everolimus in renal transplant recipients. We will perform transcriptomic analysis at the time of transplantation and after 3, 6, and 9 months post-transplant. The choice of this time period depends on the incidence of adverse effects caused by high dosage of maintenance immunosuppressive drugs.;Secondary Objective: 2.To study the relationship between gene expression and clinical data collected at any time point 3.To assess a specific correlation between gene expression and adverse effects (proteinuria, lymphedema, pulmonary toxicity) in order to obtain a transcriptomic biomarker able to early identify renal transplant recipients at high risk to develop adverse effects associated with Everolimus. This biomarker could be used by clinicians in order to personalize immunosuppressive therapy and reduce clinical complications 4.To study the biological pathway including the genes selected by transcriptomic analysis. The transcriptomic analysis will be performed on entire genome and for the subsequent analysis we will select only the genes strongly associated with adverse effects. ;Primary end point(s): To analyze the differences in transcriptome profiles from T0 to T3 ;Timepoint(s) of evaluation of this end point: (1 year) | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary end point(s): 2. To study the relationship between gene expression and clinical data collected at any time point (2 years); 3. To evaluate differences in gene expression among patients with adverse effects (proteinuria, lymphedema, pulmonary toxicity) and patients with no adverse effects during 24 months (2 years); 4. To study biological pathways containing the genes selected in point 1, 2 and 3 (2 years). ;Timepoint(s) of evaluation of this end point: (2 years). | — |
Countries
Italy
Contacts
Unit¿ Supporto alla Ricerca e Biostatistica Azienda Ospedaliera Universitaria Integrata Verona